Abstract P471: Ipsilateral Asymmetrical Internal Cerebral Vein on Multiphasic Computed Tomography for Acute Anterior Circulation Ischemic Stroke Thrombectomy is an Independent Predictor of Poor Functional Outcome
Bibliographic record
Abstract
Background: National Institute of health stroke scale(NIHSS) and collateral circulation are well-established predictors for functional outcomes of endovascular thrombectomy (EVT) patients in acute ischemic stroke (AIS), nonetheless additional prognostic markers can improve the prediction of stroke outcomes. The inflow and drainage into the internal cerebral veins (ICV) can be seen consistently on multiphasic computed tomography angiography (mCTA). Thus, we hypothesize that asymmetry of ICV in the mCTA in large vessel occlusion AIS can be used as an adjunctive predictor of functional outcomes and complications. Method: We enrolled 185 consecutive anterior circulation AIS patients who underwent EVT that presented to our hospital between 2017 and 2019. The collateral circulation was defined by the university of Calgary mCTA collateral flow assessment in stroke. The ICV on the ipsilateral occlusion side was compared with the contralateral side according to a binary scale: 1 (less than contralateral or absent) or 2(equal or greater than contralateral). The primary outcome was modified Rankin scale at 3 months (mRS), and secondary outcomes included symptomatic intracranial hemorrhage and mortality. Result: Among 185 patients, 53% were men, the median age 70 years (range 29-91) and the median NIHSS score on arrival (NIHSS OA) was 19 (range 4-34). 82 patients (44.3%) had good functional outcomes at 3 months. Ipsilateral asymmetry in all three stages of mCTA were statistically significantly associated with good functional outcomes. The 1 st delay phase of mCTA showed the strongest association. On multivariate analysis, high NIHSS OA (OR 1.09, 95% CI 1.02-1.15, P = 0.007), good mCTA collateral score (OR 0.30, 95% CI .16- .53, P < .001), ipsilateral asymmetrical ICV on the 1 st delay phase of mCTA (OR 2.64, 95% CI 1.17-5.96, P = 0.01) were independent predictors of poor functional outcome. Ipsilateral asymmetry was not associated with mortality or symptomatic intracranial hemorrhage on multivariate analysis. Conclusion: Ipsilateral assymetrical ICV is a novel radiological marker associated with functional outcomes after thrombectomy even after correction for the collateral circulation. Further studies should be done to validate this finding in different datasets.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".